path.based: Circular cluster.
In gama: Genetic Approach to Maximize Clustering Criterion
Description
Usage
Format
Source
References
Description
The data set consists of a circular cluster with an opening near the bottom and two Gaussian distributed clusters inside. All description about the data set may be found in Robust path-based spectral clustering article, and the Clustering basic benchmark site, in the references.
Usage
1
Format
A data frame containing 240 observations and two dimensions, forming two partitions:
x1: real positive values
x2: real positive values
Originally, the dataset had contained three dimensions. We intentionally removed the third dimension that corresponds to the label which the data point belongs.
Source
The dataset was collected from Clustering basic benchmark site.
References
H. Chang and D.Y. Yeung, Robust path-based spectral clustering. Pattern Recognition, 2008. 41(1): p. 191-203.
P. Franti and S. Sieranoja, K-means properties on six clustering benchmark datasets, vol. 48, no. 12. pp. 4743-4759, 2018.
gama documentation built on May 2, 2019, 6:45 a.m.
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Description Usage Format Source References
Description
The data set consists of a circular cluster with an opening near the bottom and two Gaussian distributed clusters inside. All description about the data set may be found in Robust path-based spectral clustering article, and the Clustering basic benchmark site, in the references.
Usage
1 |
Format
A data frame containing 240 observations and two dimensions, forming two partitions:
x1: real positive values
x2: real positive values
Originally, the dataset had contained three dimensions. We intentionally removed the third dimension that corresponds to the label which the data point belongs.
Source
The dataset was collected from Clustering basic benchmark site.
References
H. Chang and D.Y. Yeung, Robust path-based spectral clustering. Pattern Recognition, 2008. 41(1): p. 191-203.
P. Franti and S. Sieranoja, K-means properties on six clustering benchmark datasets, vol. 48, no. 12. pp. 4743-4759, 2018.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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